DocumentCode :
1890789
Title :
Integer Encoding Differential Evolution Algorithm for Integer Programming
Author :
Deng, Changshou ; Zhao, Bingyan ; Yang, Yanlin ; Deng, Anyuan
Author_Institution :
Sch. of Inf. Sci. & Technol., Jiujiang Univ., Jiujiang, China
fYear :
2010
fDate :
25-26 Dec. 2010
Firstpage :
1
Lastpage :
4
Abstract :
A novel integer encoding Differential Evolution (IEDE) algorithm was proposed for integer optimization problems in this paper. Based on the standard framework of the traditional DE, the population was encoding with integer. The IEDE inherited the crossover operator and selection operator from the traditional DE directly. And a new integer mutation operator was defined to deal with the integer encoding individual. Several initial simulation results show it is effective and efficient in solving the integer optimization problems. The IEDE is a new effective way for the integer optimization problems.
Keywords :
encoding; evolutionary computation; integer programming; IEDE; integer encoding differential evolution algorithm; integer mutation operator; integer optimization problems; integer programming; Algorithm design and analysis; Encoding; Linear programming; Optimization; Particle swarm optimization; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
ISSN :
2156-7379
Print_ISBN :
978-1-4244-7939-9
Electronic_ISBN :
2156-7379
Type :
conf
DOI :
10.1109/ICIECS.2010.5677899
Filename :
5677899
Link To Document :
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